Researchers at Cornell University Introduced HiQA: An Advanced Artificial Intelligence Framework for Multi-Document Question-Answering (MDQA)

A significant challenge with question-answering (QA) systems in Natural Language Processing (NLP) is their performance in scenarios involving extensive collections of documents that are structurally similar or ‘indistinguishable.’ Traditional models often need help to retrieve accurate information from such massive, homogeneous datasets, leading to issues in the precision and relevance of the responses. This limitation […]

The post Researchers at Cornell University Introduced HiQA: An Advanced Artificial Intelligence Framework for Multi-Document Question-Answering (MDQA) appeared first on MarkTechPost.

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